Generate>10% Economic Value from Data through Customer Data Analytics

Customers and Partners

  • Flytxt customer Zain
  • Flytxt customer Vodafone
  • Flytxt customer MTN
  • Flytxt customer Airtel
  • Flytxt customer Etisalat
  • Flytxt customer Idea
  • Flytxt Customer Safaricom
  • Flytxt Customer Tunetalk
  • Hutch
  • Flytxt Customer Ooredoo
  • Vodacom Mozambique
  • Flytxt Customer Ncell
  • Flytxt partner Yes Bank
  • Flytxt Partner Johnson and Johnson
  • Flytxt Partner Philips
  • Flytxt Partner Wolksvagon
  • Flytxt Partner Samsung
  • Flytxt Partner Marico
  • Nokia
  • Godrej
  • National Geographic
  • Axis Bank
  • Unilever
  • Caterpillar
  • Chevrolet
  • Datsun
  • McDonald's
  • Flytxt partner Wipro
  • Flytxt Partner VoltDB
  • EMC2
  • Flytxt Partner Intel
  • Flytxt Partner IIT Delhi
  • Flytxt Partner TNO
In the Media Read More

Flytxt showcases its workbench for carrier-scale analytics at MWC 2017

Flytxt is demonstrating its customer data analytics products at Booth 5J76 at MWC (Mobile World Congress) event in Barcelona from February 27 to March 2. The company will showcase key product capabilities like ready-to-deploy packaged machine learning models and Enterprise Analytics Workbench for data scientists to prototype and deploy analytical models with live data.

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The A-Z's of Mobile World Congress 2017

Pipeline Magazine has included Flytxt in their special feature article ‘The A-Z’s of Mobile World Congress 2017′. At MWC 2017, Flytxt will showcase its advanced analytics products NEON-dX and QREDA-dX and will have live demonstrations explaining how enterprises can build different solutions with these products to drive digital customer engagement and launch novel digital services.

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Opinion Read More

Deep learning based on recurrent neural networks for predicting customer churn

Deep learning got popular after it was proven commercially for use cases like speech recognition and image processing. It has its own advantages over traditional machine learning models as it can learn better representations by itself from large raw data set with very little dependency on humans. It has been featuring now in the top 10 technology trends predicted by industry observers like Gartner for last few years. Deep learning is increasingly getting adopted across many industries including telecom.

Beyond customer acquisition: Embrace proactive engagement across customer lifecycle

According to a recent study by Rosetta, a customer engagement focused agency – ‘Engaged customers buy 90% more frequently and spend 60% more per transaction’ Engaged customers are the ideal customers to have, more so in the telecom industry with fierce competitive dynamics emerging across traditional and digital players. To stay competitive and be profitable in the present business scenario, telcos’ need to rethink their customer engagement strategy that enable them to develop and retain customers ‘for life’ rather than merely go on an acquisition rampage. Proactive customer engagement instills a strong connection between a consumer and a brand that is strengthened over time, resulting in mutual value. Telcos across the world have established vast experienced teams tracing panoramic consumer affair and analyse customer behaviour on various parameters in order to plan their campaigns accordingly – feeding personalised offerings to the customers.


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Flytxt @ MWC 2017